spellingdragon/whisper-small-zh-foriegn
04
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Whisper small zh - foriegn
This model is a fine-tuned version of openai/whisper-small on the Common Voice 9 dataset. It achieves the following results on the evaluation set:
- Loss: 0.9294
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.001
- trainbatchsize: 4
- evalbatchsize: 8
- seed: 42
- gradientaccumulationsteps: 2
- totaltrainbatch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lrschedulertype: linear
- lrschedulerwarmup_steps: 50
- num_epochs: 3
- mixedprecisiontraining: Native AMP
Training results
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0